Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

21 January 2021

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Papers citing "Robust Reinforcement Learning on State Observations with Learned Optimal Adversary"

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Title
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 93 1 0 24 Apr 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan Soheil Feizi OOD AAML AI4TS 62 1 0 28 Mar 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu Kishan Panaganti D. Kalathil OOD OffRL 66 39 0 05 Mar 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 79 11 0 27 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 107 15 0 07 Feb 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation Chenxi Yang Greg Anderson Swarat Chaudhuri 54 1 0 26 Jan 2023
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 73 4 0 12 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 82 25 0 06 Dec 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 87 16 0 20 Nov 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 71 11 0 07 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 101 5 0 30 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 48 50 0 12 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 86 14 0 06 Oct 2022
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives Daniel Jarne Ornia Licio Romao Lewis Hammond M. Mazo Alessandro Abate 28 0 0 30 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 165 47 0 16 Sep 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 58 3 0 07 Aug 2022
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer Stephen McAleer João F. Henriques Jakob N. Foerster Philip Torr Adel Bibi Christian Schroeder de Witt AAML 64 8 0 20 Jul 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments JB Lanier Stephen Marcus McAleer Pierre Baldi Roy Fox 72 10 0 19 Jul 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang Soheil Feizi Sumitra Ganesh Furong Huang AAML 82 10 0 21 Jun 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum Junlin Wu Yevgeniy Vorobeychik 68 22 0 21 Jun 2022
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising Zikang Xiong Joe Eappen He Zhu Suresh Jagannathan AAML 39 10 0 14 Jun 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning Yinglun Xu Qi Zeng Gagandeep Singh AAML 76 7 0 30 May 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Yue Liu Ding Zhao OOD OffRL 95 37 0 29 May 2022
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization Marco Pleines Matthias Pallasch F. Zimmer Mike Preuss 84 16 0 23 May 2022
Adversarial Body Shape Search for Legged Robots Takaaki Azakami Hiroshi Kera K. Kawamoto AAML 54 2 0 20 May 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 99 25 0 15 May 2022
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid Control Jan de Priester R. Sanfelice N. van de Wouw 97 2 0 01 Apr 2022
Sound Adversarial Audio-Visual Navigation Yinfeng Yu Wenbing Huang Gang Hua Changan Chen Yikai Wang Xiaohong Liu AAML 69 29 0 22 Feb 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 80 0 0 15 Feb 2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning Taisuke Kobayashi 94 16 0 15 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 93 32 0 09 Feb 2022
Admissible Policy Teaching through Reward Design Kiarash Banihashem Adish Singla Jiarui Gan Goran Radanović 73 15 0 06 Jan 2022
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles Ao Qu Yihong Tang Wei-Ying Ma 42 9 0 04 Nov 2021
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 119 83 0 01 Nov 2021
Learning a subspace of policies for online adaptation in Reinforcement Learning Jean-Baptiste Gaya Laure Soulier Ludovic Denoyer OffRL 95 15 0 11 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 81 110 0 11 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 94 23 0 05 Oct 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning Wanqi Xue Wei Qiu Bo An Zinovi Rabinovich S. Obraztsova C. Yeo AAML 100 35 0 09 Aug 2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning You Qiaoben Chengyang Ying Xinning Zhou Hang Su Jun Zhu Bo Zhang AAML 105 17 0 30 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine Soheil Feizi AAML 110 58 0 21 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 85 60 0 17 Jun 2021
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun Ruijie Zheng Yongyuan Liang Furong Huang AAML 82 67 0 09 Jun 2021
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification Shiqi Wang Huan Zhang Kaidi Xu Xue Lin Suman Jana Cho-Jui Hsieh Zico Kolter 123 202 0 11 Mar 2021
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 82 29 0 21 Nov 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 143 136 0 27 Jan 2020